{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 0 ns\n",
      "std::cout are redirected to python::stdout\n",
      "std::cerr are redirected to python::stderr\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "%time from hikyuu.interactive.interactive import *\n",
    "iodog.open()\n",
    "#use_draw_engine('echarts')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 一、策略分析\n",
    "\n",
    "## 原始描述\n",
    "\n",
    "买入条件：周线MACD零轴下方底部金叉买入30%\n",
    "\n",
    "卖出条件：日线级别 跌破 20日线 卖出50%持仓\n",
    "\n",
    "\n",
    "## 策略分析\n",
    "\n",
    "市场环境：无\n",
    "\n",
    "系统有效性：无\n",
    "\n",
    "信号指示器：\n",
    "- 买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入（快线：DIF，慢线DEA）\n",
    "- 卖出信号：日线级别 跌破 20日均线\n",
    "\n",
    "止损/止盈：无\n",
    "\n",
    "资金管理：\n",
    "- 买入：30% （不明确，暂且当做当前现金的30%）\n",
    "- 卖出：已持仓股票数的50%\n",
    "\n",
    "盈利目标：\n",
    "\n",
    "移滑价差：\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 二、实现系统部件\n",
    "\n",
    "## 定义信号指示器"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getNextWeekDate(week):\n",
    "    \"\"\"获取指定日期的下一周周一日期\"\"\"\n",
    "    from datetime import timedelta\n",
    "    py_week = week.datetime()\n",
    "    next_week_start = py_week + timedelta(days = 7 - py_week.weekday())\n",
    "    return Datetime(next_week_start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def DEMO_SG(self):\n",
    "    \"\"\"\n",
    "    买入信号：周线MACD零轴下方底部金叉，即周线的DIF>DEA金叉时买入\n",
    "    卖出信号：日线级别 跌破 20日均线\n",
    "    \n",
    "    参数：\n",
    "    week_macd_n1：周线dif窗口\n",
    "    week_macd_n2: 周线dea窗口\n",
    "    week_macd_n3: 周线macd平滑窗口\n",
    "    day_n: 日均线窗口\n",
    "    \"\"\"\n",
    "    k = self.getTO()\n",
    "    if (len(k) == 0):\n",
    "        return\n",
    "    \n",
    "    stk = k.getStock()\n",
    "    \n",
    "    #-----------------------------\n",
    "    #计算日线级别的卖出信号        \n",
    "    #-----------------------------\n",
    "    day_c = CLOSE(k)\n",
    "    day_ma = MA(day_c, self.getParam(\"day_n\"))\n",
    "    day_x = day_c < day_ma  #收盘价小于均线\n",
    "    for i in range(day_x.discard, len(day_x)):\n",
    "        if day_x[i] >= 1.0:\n",
    "            self._addSellSignal(k[i].datetime)\n",
    "\n",
    "    #-----------------------------\n",
    "    #计算周线级别的买入信号        \n",
    "    #-----------------------------\n",
    "    week_q = QueryByDate(k[0].datetime, k[-1].datetime.nextDay(), kType=Query.WEEK)\n",
    "    week_k = k.getStock().getKData(week_q)\n",
    "    \n",
    "    n1 = self.getParam(\"week_macd_n1\")\n",
    "    n2 = self.getParam(\"week_macd_n2\")\n",
    "    n3 = self.getParam(\"week_macd_n3\")\n",
    "    m = MACD(CLOSE(week_k), n1, n2, n3)\n",
    "    fast = m.getResult(0)\n",
    "    slow = m.getResult(1)\n",
    "    \n",
    "    discard = m.discard if m.discard > 1 else 1\n",
    "    for i in range(discard, len(m)):\n",
    "        if (fast[i-1] < slow[i-1] and fast[i] > slow[i]):\n",
    "            #当周计算的结果，只能作为下周一的信号\n",
    "            self._addBuySignal(week_k[i].datetime.nextWeek())\n",
    "         "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 定义资金管理策略"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "class DEMO_MM(MoneyManagerBase):\n",
    "    \"\"\"\n",
    "    买入：30% （不明确，暂且当做当前现金的30%）\n",
    "    卖出：已持仓股票数的50%\n",
    "    \"\"\"\n",
    "    def __init__(self):\n",
    "        super(DEMO_MM, self).__init__(\"MACD_MM\")\n",
    "        \n",
    "    def _reset(self):\n",
    "        pass\n",
    "    \n",
    "    def _clone(self):\n",
    "        return DEMO_MM()\n",
    "        \n",
    "    def _getBuyNumber(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.getTM()\n",
    "        cash = tm.currentCash\n",
    "        \n",
    "        #可以不用考虑最小交易单位的问题，已经自动处理\n",
    "        #num = int((cash * 0.3 // price // stk.atom) * stk.atom)\n",
    "        return int(cash*0.3/price) #返回类型必须是int\n",
    "    \n",
    "    def _getSellNumber(self, datetime, stk, price, risk, part_from):\n",
    "        tm = self.getTM()\n",
    "        position = tm.getPosition(stk)\n",
    "        total_num = position.number\n",
    "        num = int(total_num * 0.5)\n",
    "        return num if num >= 100 else 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 三、构建并运行系统\n",
    "\n",
    "## 设定系统参数\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#账户参数\n",
    "init_cash = 100000 #账户初始资金\n",
    "init_date = Datetime('1990-1-1') #账户建立日期\n",
    "\n",
    "#信号指示器参数\n",
    "week_n1 = 12\n",
    "week_n2 = 26\n",
    "week_n3 = 9\n",
    "day_n = 20\n",
    "\n",
    "#选定标的，及测试区间\n",
    "stk = sm['sz000001']\n",
    "start_date = Datetime('2017-01-01')  #如果是同一级别K线，可以使用索引号，使用了不同级别的K线数据，建议还是使用日期作为参数\n",
    "end_date = Datetime()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 构建系统实例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#创建账户\n",
    "my_tm = crtTM(datetime=init_date, initCash = init_cash, costFunc=TC_FixedA())\n",
    "\n",
    "#创建系统实例\n",
    "my_sys = SYS_Simple()\n",
    "\n",
    "#绑定账户\n",
    "my_sys.tm = my_tm\n",
    "\n",
    "#绑定信号指示器\n",
    "my_sys.sg = crtSG(DEMO_SG, \n",
    "              {'week_macd_n1': week_n1, 'week_macd_n2': week_n2, 'week_macd_n3': week_n3, 'day_n': day_n}, \n",
    "                'DEMO_SG') \n",
    "my_sys.sg.setParam('alternate', False)\n",
    "\n",
    "#绑定资金管理策略\n",
    "my_sys.mm = DEMO_MM()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 运行系统"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "iodog.close()\n",
    "q = QueryByDate(start_date, end_date, kType=Query.DAY)\n",
    "my_sys.run(stk, q)\n",
    "\n",
    "#将交易记录及持仓情况，保存在临时目录，可用Excel查看\n",
    "#临时目录一般设置在数据所在目录下的 tmp 子目录\n",
    "#如果打开了excel记录，再次运行系统前，记得先关闭excel文件，否则新的结果没法保存\n",
    "my_tm.tocsv(sm.tmpdir())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、查看资金曲线及绩效统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#绘制资金收益曲线（净收益）\n",
    "x = my_tm.getProfitCurve(stk.getDatetimeList(q), KQuery.DAY)\n",
    "#x = my_tm.getFundsCurve(stk.getDatetimeList(q), KQuery.DAY) #总资产曲线\n",
    "x = PRICELIST(x)\n",
    "x.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "帐户初始金额: 100000.00\n",
      "累计投入本金: 100000.00\n",
      "累计投入资产: 0.00\n",
      "累计借入现金: 0.00\n",
      "累计借入资产: 0.00\n",
      "累计红利: 0.00\n",
      "现金余额: 98258.95\n",
      "未平仓头寸净值: 2178.88\n",
      "当前总资产: 100437.83\n",
      "已平仓交易总成本: 0.00\n",
      "已平仓净利润总额: 0.00\n",
      "单笔交易最大占用现金比例%: 29.68\n",
      "交易平均占用现金比例%: 29.45\n",
      "已平仓帐户收益率%: 0.00\n",
      "帐户年复合收益率%: 0.23\n",
      "帐户平均年收益率%: 0.24\n",
      "赢利交易赢利总额: 0.00\n",
      "亏损交易亏损总额: 0.00\n",
      "已平仓交易总数: 0.00\n",
      "赢利交易数: 0.00\n",
      "亏损交易数: 0.00\n",
      "赢利交易比例%: 0.00\n",
      "赢利期望值: 0.00\n",
      "赢利交易平均赢利: 0.00\n",
      "亏损交易平均亏损: 0.00\n",
      "平均赢利/平均亏损比例: 0.00\n",
      "净赢利/亏损比例: 0.00\n",
      "最大单笔赢利: 0.00\n",
      "最大单笔亏损: 0.00\n",
      "赢利交易平均持仓时间: 0.00\n",
      "赢利交易最大持仓时间: 0.00\n",
      "亏损交易平均持仓时间: 0.00\n",
      "亏损交易最大持仓时间: 0.00\n",
      "空仓总时间: 681.00\n",
      "空仓时间/总时间%: 100.00\n",
      "平均空仓时间: 681.00\n",
      "最长空仓时间: 680.00\n",
      "最大连续赢利笔数: 0.00\n",
      "最大连续亏损笔数: 0.00\n",
      "最大连续赢利金额: 0.00\n",
      "最大连续亏损金额: 0.00\n",
      "R乘数期望值: 0.00\n",
      "交易机会频率/年: 0.00\n",
      "年度期望R乘数: 0.00\n",
      "赢利交易平均R乘数: 0.00\n",
      "亏损交易平均R乘数: 0.00\n",
      "最大单笔赢利R乘数: 0.00\n",
      "最大单笔亏损R乘数: 0.00\n",
      "最大连续赢利R乘数: 0.00\n",
      "最大连续亏损R乘数: 0.00\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#回测统计\n",
    "per = Performance()\n",
    "print(per.report(my_tm, Datetime.now()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、或许想看下图形"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_sys.plot()\n",
    "MA(CLOSE(my_sys.getTO()), 20).plot(new=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、或许想看看所有股票的情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Wall time: 13.9 s\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "def calTotal(blk, q):\n",
    "    per = Performance()\n",
    "    s_name = []\n",
    "    s_code = []\n",
    "    x = []\n",
    "    for stk in blk:\n",
    "        my_sys.run(stk, q)\n",
    "        per.statistics(my_tm, Datetime.now())\n",
    "        s_name.append(stk.name)\n",
    "        s_code.append(stk.market_code)\n",
    "        x.append(per.get(\"当前总资产\".encode('gb2312')))\n",
    "    return pd.DataFrame({'代码': s_code, '股票': s_name, '当前总资产': x})\n",
    "\n",
    "%time data = calTotal(blocka, q)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>代码</th>\n",
       "      <th>股票</th>\n",
       "      <th>当前总资产</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SZ000532</td>\n",
       "      <td>华金资本</td>\n",
       "      <td>101255.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SH601777</td>\n",
       "      <td>力帆股份</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SZ300238</td>\n",
       "      <td>冠昊生物</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH600781</td>\n",
       "      <td>辅仁药业</td>\n",
       "      <td>100498.77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SH600770</td>\n",
       "      <td>综艺股份</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>SH600671</td>\n",
       "      <td>天目药业</td>\n",
       "      <td>100000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>SZ002888</td>\n",
       "      <td>惠威科技</td>\n",
       "      <td>100526.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>SH600086</td>\n",
       "      <td>东方金钰</td>\n",
       "      <td>98972.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>SH603599</td>\n",
       "      <td>广信股份</td>\n",
       "      <td>99363.81</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>SH600363</td>\n",
       "      <td>联创光电</td>\n",
       "      <td>99807.15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         代码    股票      当前总资产\n",
       "0  SZ000532  华金资本  101255.21\n",
       "1  SH601777  力帆股份  100000.00\n",
       "2  SZ300238  冠昊生物  100000.00\n",
       "3  SH600781  辅仁药业  100498.77\n",
       "4  SH600770  综艺股份  100000.00\n",
       "5  SH600671  天目药业  100000.00\n",
       "6  SZ002888  惠威科技  100526.75\n",
       "7  SH600086  东方金钰   98972.76\n",
       "8  SH603599  广信股份   99363.81\n",
       "9  SH600363  联创光电   99807.15"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#保存到CSV文件\n",
    "#data.to_csv(sm.tmpdir() + '/统计.csv')\n",
    "data[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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